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ACT01 - Midnight Madness Midnight Madness provides a sneak peek into re:Invent, complete with fun, drinks, and snacks. There will be a chicken wing eating contest, marching bands, conga lines, street performers, and much, much more - don't miss it! Activity
ACT02 - Tatonka Join us at Midnight Madness to discover and witness re:Invent's famous chicken wing eating extravaganza - Tatonka. Reserve your seat in advance. Tatonka
ACT05 - Ping Pong Tournament #1 The AWS Ping Pong Tournament returns to re:Invent, with games on Wednesday and Thursday. Activity
ACT06 - Ping Pong Tournament #2 The AWS Ping Pong Tournament returns to re:Invent, with games on Wednesday and Thursday. Activity
ACT07 - Bingo Night (Venetian) Back by popular demand, Bingo Night returns to re:Invent across two venues. Activity
ACT08 - Bingo Night (Aria) Back by popular demand, Bingo Night returns to re:Invent across two venues. Activity
ACT09 - Board Game Night Relax with fellow attendees over snacks and a game or two of whatever you're into. We'll have all the classics and much more. Activity
ACT10 - Arts & Crafts Looking for something creative and relaxing to help you unwind? Grab a beverage to sip on while painting your own masterpiece. Reserve your seat in advance. Activity
ACT11 - Movie Night (Venetian) Grab some popcorn and get ready to watch cult classics and best-loved films of the '80s! Doors open at 7:00 PM. Activity
ACT12 - Movie Night (Aria) Grab some popcorn and get ready to watch cult classics and best-loved films of the '80s! Doors open at 7:00 PM. Activity
ACT13 - Broomball For those of you who always wanted to play Quidditch in school, broomball is for you. We'll explain everything just bring yourself! Activity
ACT14 - Dodgeball Remember the 5 Ds of dodgeball: “Dodge, duck, dip, dive, and dodge.” If you can live by those wise words, you’ll fit right in at our annual dodgeball showdown! Activity
ACT15 - Choir! Choir! Choir! Ready to sing your heart out alongside your fellow attendees? Reserve your spot to join the choir! Activity
ACT16 - The Expanse, Season 4, Episode 1 Can't wait until December 13? Well then, don't miss your chance at a sneak peek of season 4 of The Expanse! Activity
ACT17 - Women in Identity, Security, and Privacy re:Invent Gathering Spend a few hours networking with women in the fields of Identity, Security, and Privacy. Meet female leaders in AWS identity-related services and hear lightning talks from women in the Identity and Security industry. Connect with other women and allies while sampling wine and chocolates from around the world. Create your own security-themed craft project to take home with you! Most of all, take this time to enjoy a relaxed environment, expand your connections, and learn something new. The event is co-hosted by Women in Identity and Women in Security & Privacy. Heavy appetizers will be served. Dress code is casual. Allies are welcome. Activity
ADM201-L - Leadership session: Digital marketing and ad technology In this session meant for executive leaders, you get to see the AWS vision for how companies stand out in the crowded, massively scaled advertising and marketing ecosystem. Industry leaders share stories about how they used AWS to enable breakthroughs in areas such as customer data collection, identity resolution, audience targeting, programmatic advertising, personalization, and measurement. Then we turn to the future and share our playbook for artificial intelligence and real-time solutions for transforming big data into marketing outcomes. Session Dmitri Tchikatilov Calvin French-Owen Scott N Brown Zak Stengel Srini Varadarajan
ADM203 - Reimagining advertising analytics & identity resolution at scale Most companies in Advertising & Marketing run some kind of big data workload. But are they taking advantage of the latest cloud technology? In this session, learn how AWS customers can optimize data collection, analytics, and identity resolution using containers, serverless computing, and graph databases. Customers share detailed technical best practices for big data and advertising analytics at massive scale and low cost. Then we dive deep into an example of how to improve identity matching and audience targeting using Amazon Neptune and other AWS tools. Session Dmitri Tchikatilov Sasikala Singamaneni Eric Whitney Christopher Hansen
ADM301 - Best practices for identity resolution with Amazon Neptune In this chalk talk, learn how to build a cloud-centric, graph-based identity resolution system that connects customer data across devices, channels, and touchpoints and helps enable better media buying and personalization. Learn about best practices and the mistakes to avoid for identity resolution data collection, processing, and preparation. We deep dive into architectural details for achieving high availability and low latency at scale using AWS services such as Amazon EMR, Amazon Neptune, Amazon EC2, and Amazon S3. We also discuss recommendations for using Neptune as a fully managed graph database service for identity resolution. Chalk Talk Taylor Riggan Nitin Poddar
ADM302 - End-to-end machine learning using Spark and Amazon SageMaker Learn how AWS customers are developing production-ready machine learning models to optimize auction dynamics and bid pricing—all within the millisecond latency requirements of programmatic ad buying. Forget “hello world” ML tutorials; instead we dive deep into an example of how to train models for terabyte-scale advertising data cost-effectively. Find out how to create environments for machine learning engineers so they can prototype and explore with TensorFlow before executing it in distributed systems using Spark and Amazon SageMaker. We explain productionizing models and deployment, which we then back up with real-life examples. Session Dmitri Tchikatilov François Guerraz Janko Kovacevic
ADM303 - Implementing Amazon Personalize across marketing channels Amazon Personalize makes it easy to train machine learning models based on the behavioral data of your customers. However, putting these models into practice across marketing channels to deliver high-quality customer experiences still requires some lifting on your end. In this chalk talk, we discuss the best practices and strategies for implementing Amazon Personalize—including what we’ve seen work and what we’ve seen doesn’t—to create personalized customer experiences across multiple digital channels, including web, mobile, and messaging. Chalk Talk Dylan Tong James Jory
ADM401 - Analyzing Amazon DSP data in an AWS data lake Advertisers and agencies working with Amazon DSP are interested in analyzing available data points to understand segment and campaign performance. In this one-hour lab meant for companies working with Amazon DSP today, we show how to set up an AWS data lake based on reporting files from Amazon DSP in Amazon Simple Storage Service (Amazon S3) in order to analyze and visualize the data. We show you how to use AWS Glue Data Catalog to crawl and create a data source, use Amazon Athena for extraction, and display the data in Amazon QuickSight. Builders Session David Beck
ADM402 - Testing techniques for measuring personalization In this hands-on lab, you sit down with an AWS solutions architect to learn how to integrate techniques such as A/B, multi-armed bandit, and interleaved recommendation testing to measure effectiveness of machine learning for personalization. You’ll come away knowing how to build an end-to-end solution for deploying recommendation models using Amazon Personalize that integrates with measurement techniques that can be applied to customer experience in e-commerce or other marketing channels. Builders Session James Jory
AHH01 - Canaletto - 80s Night Calling all developers, gamers, and '80s lovers. Join Red Hat as we celebrate the rise of the open-source era and 8-bit gaming with food, drinks, games, and prizes. And jump back in time with us as we celebrate the brightest decade with special appearances from your favorite 8-bit characters. After hours
AHH02 - Carahsoft Restaurant Reception at Sage More Information Coming Soon! After hours
AHH03 - Join the Nutanix Rebel Alliance at Yardbird Looking to deploy applications in a hybrid cloud? Head to Yardbird for some cantina cocktails and to learn more. Do or do not; there is no try. After hours
AHH04 - NetApp at TAO Nightclub Join NetApp at TAO Nightclub. We have specialty cocktails and passed hors d'oeuvres from TAO Asian Bistro with unlimited beer, wine, and soft drinks. After hours
AHH05 - The Out-of-This-World AWS Party at Cañonita Sometimes you just need to get away from it all - preferably to another galaxy. That's why Harness is hosting a special space-themed party, featuring exclusive invitations to a free screening of Star Wars: The Rise of Skywalker on opening night in eight cities. Join us! Get food, free drinks, and swag, and find out how to join a theater full of screaming, happy DevOps and engineering folks on opening night. After hours
AHH07 - Celebrate Customer Success with AWS Support at Chica Join us at the AWS Support - Trusted Advisor Celebration to network with the customer-obsessed team of experts who provide you with guidance, assistance, and technology so that you can achieve success. After hours
AHH08 - Dell Marketing Restaurant Reception at Mercato More Information Coming Soon! After hours
AHH09 - MongoDB Restaurant Reception at Sugarcane More Information Coming Soon! After hours
AHH10 - Rapid7 Restaurant Reception at Herringbone More Information Coming Soon! After hours
AHH11 - TIBCO Restaurant Reception at LAVO Lounge More Information Coming Soon! After hours
AIM201-S - Hot paths to anomaly detection with TIBCO data science, streaming on AWS Sensor data on the event stream can be voluminous. In NAND manufacturing, there are millions of columns of data that represent many measured and virtual metrics. These sensor data can arrive with considerable velocity. In this session, learn about developing cross-sectional and longitudinal analyses for anomaly detection and yield optimization using deep learning methods, as well as super-fast subsequence signature search on accumulated time-series data and methods for handling very wide data in Apache Spark on Amazon EMR. The trained models are developed in TIBCO Data Science and Amazon SageMaker and applied to event streams using services such as Amazon Kinesis to identify hot paths to anomaly detection. This presentation is brought to you by TIBCO Software, an APN Partner. Session Michael OConnell Steve Hillion
AIM202-S - Artificial intelligence in Healthcare SENTRI is an intelligent automation application platform built leveraging native AWS components to facilitate case processing in the Healthcare industry. PwC built an engine that can take in an adverse healthcare/level of service (HC/LS) event case, extract key information, provide an initial interpretation of severity, and triage the case for review. PwC performed analysis using a user-centric experience, which allowed the case processor to easily verify outputs and helped build trust and confidence in the machine’s interpretation. In this session, learn how a PwC customer has been successfully using this system for over nine months. It used to take two hours to process a case. Now, it takes three seconds. This presentation is brought to you by PwC, an APN Partner. Session Siddhartha Bhattacharya Matthew Rich
AIM203-S - Take AI/ML from theory to practice with Intel technologies on AWS The challenges associated with scalability have been removed in the cloud. Today, organizations deploy tons of artificial intelligence/machine learning (AI/ML) workloads on AWS. Learn about how easy and cost-effective it is to build customized, intelligent data models leveraging the full power of Intel Xeon Scalable processors. Additionally, learn how Footasylum, a leading UK leisurewear retailer, is globally optimizing its value chain. By utilizing the Peak AI ML solution powered by Intel on AWS, Footasylum is leveraging ML for long-term success in the modern retail climate. This presentation is brought to you by Intel, an APN Partner. Session
AIM204-S - Discovering the value of a cloud data platform In this session, Discover Financial Services and Accenture discuss their work with moving Discover from an on-premises data infrastructure to the AWS Cloud, which offers advanced analytics. With an intelligent data strategy and fully optimized AWS Cloud data solution, Discover is transforming the customer experience and increasing shareholder value. Today, the bank leverages data from many sources—structured and unstructured, streaming and batch—and analyzes the data for insights. This strategy required a bold pivot from a legacy, on-premises architecture to a fully integrated data platform on the cloud. Learn how Discover is also successfully navigating the cultural changes of this type of transformation. This presentation is brought to you by Accenture, an APN Partner. Session Arunashish Majumdar Chad Duncan Michael Oppenheim
AIM205-R - [REPEAT] Starting the enterprise ML journey, featuring ProSiebenSat.1 Media SE Amazon has been investing in machine learning for more than 20 years, innovating in areas such as fulfillment and logistics, personalization and recommendations, forecasting, fraud prevention, and supply chain optimization. During this session, we take this expertise and show you how to identify business problems that can be solved with machine learning. We discuss considerations including selecting the right use case for a machine learning pilot, nurturing skills, and measuring the success of such pilots. We dive into success stories from the Amazon ML Solutions Lab, and you can hear from ProSiebenSat.1 Media SE about how it moved from idea to production with machine learning.         Session Jason Gelman Priya Ponnapalli Kiran Kulkarni
AIM205-R1 - [REPEAT 1] Starting the enterprise ML journey, featuring ProSiebenSat.1 Media SE Amazon has been investing in machine learning for more than 20 years, innovating in areas such as fulfillment and logistics, personalization and recommendations, forecasting, fraud prevention, and supply chain optimization. During this session, we take this expertise and show you how to identify business problems that can be solved with machine learning. We discuss considerations including selecting the right use case for a machine learning pilot, nurturing skills, and measuring the success of such pilots. We dive into success stories from the Amazon ML Solutions Lab, and you can hear from ProSiebenSat.1 Media SE about how it moved from idea to production with machine learning.         Session Jason Gelman Priya Ponnapalli Kiran Kulkarni
AIM206-R - [REPEAT] Finding a needle in a haystack: Use AI to transform content management Finding digital content, from documents to media, can be frustrating and time-consuming. Across your employees or customers, this challenge can waste hours, derail projects, and create poor experiences. In this breakout session, learn how to use language and vision AI services to extract data, insights, and trends from all of your digital content, with a focus on how to more effectively manage your documents and find what you need. Session Udi Hershkovich Niranjan Hira Girish Arunagiri
AIM206-R1 - [REPEAT 1] Finding a needle in a haystack: Use AI to transform content management Finding digital content, from documents to media, can be frustrating and time-consuming. Across your employees or customers, this challenge can waste hours, derail projects, and create poor experiences. In this breakout session, learn how to use language and vision AI services to extract data, insights, and trends from all of your digital content, with a focus on how to more effectively manage your documents and find what you need. Session Udi Hershkovich Niranjan Hira Girish Arunagiri
AIM207-R - [REPEAT] Get started with AWS DeepRacer Get behind the keyboard for an immersive experience with AWS DeepRacer. Developers with no prior machine learning experience learn new skills and apply their knowledge in a fun and exciting way. With the help of the AWS pit crew, build and train a reinforcement learning model that you can race on the tracks in the MGM Grand Garden Arena and win special AWS prizes! Workshop Brien Blandford Donnie Prakoso
AIM207-R1 - [REPEAT 1] Get started with AWS DeepRacer Get behind the keyboard for an immersive experience with AWS DeepRacer. Developers with no prior machine learning experience learn new skills and apply their knowledge in a fun and exciting way. With the help of the AWS pit crew, build and train a reinforcement learning model that you can race on the tracks in the MGM Grand Garden Arena and win special AWS prizes! Workshop Antonio Rodriguez Eric Sun
AIM207-R2 - [REPEAT 2] Get started with AWS DeepRacer Get behind the keyboard for an immersive experience with AWS DeepRacer. Developers with no prior machine learning experience learn new skills and apply their knowledge in a fun and exciting way. With the help of the AWS pit crew, build and train a reinforcement learning model that you can race on the tracks in the MGM Grand Garden Arena and win special AWS prizes! Workshop Chuong Vu Varadaraj Ramachandraiah
AIM207-R3 - [REPEAT 3] Get started with AWS DeepRacer Get behind the keyboard for an immersive experience with AWS DeepRacer. Developers with no prior machine learning experience learn new skills and apply their knowledge in a fun and exciting way. With the help of the AWS pit crew, build and train a reinforcement learning model that you can race on the tracks in the MGM Grand Garden Arena and win special AWS prizes! Workshop Muhyun Kim Francois van Rensburg
AIM207-R4 - [REPEAT 4] Get started with AWS DeepRacer Get behind the keyboard for an immersive experience with AWS DeepRacer. Developers with no prior machine learning experience learn new skills and apply their knowledge in a fun and exciting way. With the help of the AWS pit crew, build and train a reinforcement learning model that you can race on the tracks in the MGM Grand Garden Arena and win special AWS prizes! Workshop Brian Townsend Eduardo Calleja
AIM207-R5 - [REPEAT 5] Get started with AWS DeepRacer Get behind the keyboard for an immersive experience with AWS DeepRacer. Developers with no prior machine learning experience learn new skills and apply their knowledge in a fun and exciting way. With the help of the AWS pit crew, build and train a reinforcement learning model that you can race on the tracks in the MGM Grand Garden Arena and win special AWS prizes! Workshop Vadim Omeltchenko Ben Thurgood
AIM207-R6 - [REPEAT 6] Get started with AWS DeepRacer Get behind the keyboard for an immersive experience with AWS DeepRacer. Developers with no prior machine learning experience learn new skills and apply their knowledge in a fun and exciting way. With the help of the AWS pit crew, build and train a reinforcement learning model that you can race on the tracks in the MGM Grand Garden Arena and win special AWS prizes! Workshop Jillian Forde Eduardo Calleja
AIM207-R7 - [REPEAT 7] Get started with AWS DeepRacer Get behind the keyboard for an immersive experience with AWS DeepRacer. Developers with no prior machine learning experience learn new skills and apply their knowledge in a fun and exciting way. With the help of the AWS pit crew, build and train a reinforcement learning model that you can race on the tracks in the MGM Grand Garden Arena and win special AWS prizes! Workshop Shivansh Singh OLIVIER BERGERET
AIM207-R8 - [REPEAT 8] Get started with AWS DeepRacer Get behind the keyboard for an immersive experience with AWS DeepRacer. Developers with no prior machine learning experience learn new skills and apply their knowledge in a fun and exciting way. With the help of the AWS pit crew, build and train a reinforcement learning model that you can race on the tracks in the MGM Grand Garden Arena and win special AWS prizes! Workshop Francois van Rensburg Muhyun Kim
AIM207-R9 - [REPEAT 9] Get started with AWS DeepRacer Get behind the keyboard for an immersive experience with AWS DeepRacer. Developers with no prior machine learning experience learn new skills and apply their knowledge in a fun and exciting way. With the help of the AWS pit crew, build and train a reinforcement learning model that you can race on the tracks in the MGM Grand Garden Arena and win special AWS prizes! Workshop De Clercq Wentzel Tim O'Brien
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